AI production

Validate and Govern AI Assets

Standardize and scale governance across all of your AI assets and ensure all are managed to the highest standard.

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Manage Generative AI and Predictive AI

Organize, deploy, and version all GenAI and predictive AI assets together from one registry.

Ensure Smooth Handoffs and Collaboration

Automated model documentation lets you maintain control over your AI projects by ensuring the reliability of your business predictions.

Maximize Compliance of Business Critical Use Cases

Ensure models used in business-critical applications and workflows adhere to regulation and compliance requirements.

Reduce Unnecessary Risk

Embedded governance allows you to comply with government regulations and reduce risk from changes to production models.

One Registry for all Generative and Predictive AI

Eliminate generative AI chaos with effortless management and deployment of all generative AI and predictive AI assets from a single repository, no matter who built them, how they were built, or where they are hosted. Organize all DataRobot-generated or custom LLMs by use case and deploy wherever needed. You can confidently upgrade LLMs while DataRobot’s automated versioning captures the full evolution of all models. Revert deployment back to previous versions effortlessly.

End-to-end AI Lifecycle Governance

Manage all different types of models and GenAI assets with the same consistent level of governance. Bring approval workflows and auditability to all models across all cloud environments. DataRobot AI Production unifies your policies providing the same roles, governance and object structure to finally help you think clearly about your entire model inventory.

Automate Compliance Documentation

DataRobot saves hours of work by automating the creation of model compliance documentation for DataRobot or custom-built models – no matter where they are deployed. DataRobot can generate compliance documentation at the click of a button.

The customization of compliance documentation helps data scientists follow enterprise or industry-specific requirements. Bring in your own custom datasets, charts, tables, and URLs to enrich compliance documentation and standardize model documentation across your organization.

Automatically Prepare for Deployment

Automatically serialize your entire data and feature engineering pipeline for all data types – then containerize and deploy a production grade rest-API endpoint in one click. Centrally manage and process metrics for these deployments, assuring the performance of these business-critical models via DataRobot.

Integrate with MLflow

AI builders using MLflow (including Azure Databricks) can bring metadata from MLflow’s registry into the DataRobot platform to assist with model governance, history, and input origins. Build the way you think is best and DataRobot will help you monitor, document, and govern your models, wherever they may be.

The DataRobot AI Platform acts as a central location for managing a suite of models from many different platforms. This helps simplify compliance and governance across AI and ML operations.

Minimize Risk With Bias Mitigation

Mitigating bias is critical for brand reputation, regulatory compliance, and ethics. DataRobot simplifies this with a no-code, out-of-the-box solution. Select from two bias mitigation workflows: automatically run bias mitigation to add fairness to the top three models found, or choose to manually mitigate bias in any model with a feature of your choice. This gives you the control to understand how bias mitigation is performed and choose which features are being mitigated based on your organization’s requirements or risk tolerance.